# coding: utf-8
import _thread as thread
import base64
import datetime
import hashlib
import hmac
import json
from urllib.parse import urlparse
import ssl
from datetime import datetime
from time import mktime
from urllib.parse import urlencode
from wsgiref.handlers import format_date_time
import websocket

result =[]
class Ws_Param(object):
    # 初始化
    def __init__(self, APPID, APIKey, APISecret, gpt_url):
        self.APPID = APPID
        self.APIKey = APIKey
        self.APISecret = APISecret
        self.host = urlparse(gpt_url).netloc
        self.path = urlparse(gpt_url).path
        self.gpt_url = gpt_url

    # 生成url
    def create_url(self):
        # 生成RFC1123格式的时间戳
        now = datetime.now()
        date = format_date_time(mktime(now.timetuple()))

        # 拼接字符串
        signature_origin = "host: " + self.host + "\n"
        signature_origin += "date: " + date + "\n"
        signature_origin += "GET " + self.path + " HTTP/1.1"

        # 进行hmac-sha256进行加密
        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
                                 digestmod=hashlib.sha256).digest()

        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')

        authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'

        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')

        # 将请求的鉴权参数组合为字典
        v = {
            "authorization": authorization,
            "date": date,
            "host": self.host
        }
        # 拼接鉴权参数，生成url
        url = self.gpt_url + '?' + urlencode(v)
        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
        return url


# 收到websocket错误的处理
def on_error(ws, error):
    print("### error:", error)


# 收到websocket关闭的处理
def on_close(ws):
    print("### closed ###")


# 收到websocket连接建立的处理
def on_open(ws):
    thread.start_new_thread(run, (ws,))


def run(ws, *args):
    data = json.dumps(gen_params(appid=ws.appid, query=ws.query, domain=ws.domain))
    ws.send(data)

# 收到websocket消息的处理
def on_message(ws, message):
    # print(message)
    data = json.loads(message)
    code = data['header']['code']
    if code != 0:
        print(f'请求错误: {code}, {data}')
        ws.close()
    else:
        choices = data["payload"]["choices"]
        status = choices["status"]
        content = choices["text"][0]["content"]
        result.append(content)
        print(content, end='')
        if status == 2:
            print("#### 关闭会话")
            ws.close()


def gen_params(appid, query, domain):
    """
    通过appid和用户的提问来生成请参数
    """
    data = {
        "header": {
            "app_id": appid,
            "uid": "1234",           
            # "patch_id": []    #接入微调模型，对应服务发布后的resourceid          
        },
        "parameter": {
            "chat": {
                "domain": domain,
                "temperature": 0.8,
                "max_tokens": 8192,
                "auditing": "default",
            }
        },
        "payload": {
            "message": {
                "text": [{"role": "user", "content": query}]
            }
        }
    }
    return data


def main(appid, api_secret, api_key, gpt_url, domain, query):
    wsParam = Ws_Param(appid, api_key, api_secret, gpt_url)
    websocket.enableTrace(False)
    wsUrl = wsParam.create_url()

    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)
    ws.appid = appid
    ws.query = query
    ws.domain = domain
    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})


def ai_import(text, api, api_secret, api_key):
    print(len(text))
    if len(text) > 7800:
        text = text[:7800]
    main(
        appid=api,
        api_secret=api_secret,
        api_key=api_key,
        #appid、api_secret、api_key三个服务认证信息请前往开放平台控制台查看（https://console.xfyun.cn/services/bm35）
        gpt_url="wss://spark-api.xf-yun.com/v3.5/chat",
        # Spark_url = "ws://spark-api.xf-yun.com/v3.1/chat"  # v3.0环境的地址
        # gpt_url = "ws://spark-api.xf-yun.com/v2.1/chat",  # v2.0环境的地址
        # gpt_url = "ws://spark-api.xf-yun.com/v1.1/chat",  # v1.5环境的地址
        domain="generalv3.5",
        # domain = "generalv3"    # v3.0版本
        # domain = "generalv2",    # v2.0版本
        # domain = "general",    # v2.0版本
        query=f"你是一个工作40年的资深测试工程师，现在在写测试报告，现在给你此次测试出来的bug清单，"
              f"请概况此次提交的BUG内容并针对开发人员做一次带有数据的分析总结，总结内容大纲应从：问题归纳，优先级数量占比，根据bug的描述进行BUG分析和待提升之处。BUG清单如下：{text}"
    )
    msg_result = ''.join(result)
    result.clear()
    return msg_result